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Details

Details

## Register for webinar here:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar

## Time
9am PDT / 12pm EDT / 7pm EAT / 9:30 PM IST

## Talk Level
Beginner

## Pre-reqs
Beginner knowledge of python and of statistics/data science

## Prep Work
None

## Resources
https://github.com/OriolAbril/pymc3-data_umbrella

## Event
In this task we'll give an overview of PyMC3, and why you should supercharge your data science skills with probabilistic programming. The talk is organized by layers from more generic to more specific. We will cover the main features of the Bayesian paradigm, then probabilistic progamming, then PyMC3 and we will finish covering some hands on examples of Bayesian modeling with PyMC3.

## Speaker
I am a Bayesian statistics and open source sofware enthusiast currently pursuing a PhD in Computer Science at Helsinki Uni. I am also a member of the ArviZ and PyMC teams.

Linkedin: https://www.linkedin.com/in/oriol-abril-pla-1b9123180/
Twitter: https://twitter.com/OriolAbril
GitHub: https://github.com/OriolAbril

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